Thermal stability, crystallization and magnetic properties of Fe-Co-based metallic glasses

The aim of the paper was to investigate thermal stability, crystallization and magnetic properties of Fe-Cobased metallic glasses (MGs). Investigations were carried out on amorphous ribbons with the compositions of [(Fe0.5Co0.5)0.75B0.2Si0.05]96Nb4 and [(Fe0.6Co0.3Ni0.1)0.75 B0.2Si 0.05]96Nb4. Thermal properties (liquidus Tl and melting Tm temperatures) of the pre-alloyed ingots upon heating and cooling were analyzed by DTA at a heating/ cooling rate of 0.33 K s-1 under the purified argon atmosphere. The structure of the ribbons was examined by X-ray diffraction (XRD) and transmission electron microscopy (TEM) method. Kinetics of the crystallization process was examined by applying differential scanning calorimetry (DSC) method, and experiments performed in thermal analysis involve heating at a constant rates b = 0.17, 0.33 and 0.5 K s-1. Additionally, the conventional crystallization temperature Tx was determined from the normalized isochronal resistivity curves a(T) with heating rate 0.0083 K s-1. a is the temperature coefficient of resistance and a = q-1 dq/dT. The Tx, can be obtained from the condition a = 0 (Stokłosa et al. in J Alloy Compd 509(37):9050–9054, 2011). The saturation magnetization M(T) was measured in situ with heating rates 0.083 K s-1 using magnetic balance (Szewieczek and Lesz in J Mater Process Tech 162–163:254–259, 2005)

How to assess the acceptance of an electronic health record system?

Being able to access a patient’s clinical data in due time is critical to any medical setting. Clinical data is very diverse both in content and in terms of which system produces it. The Electronic Health Record (EHR) aggregates a patient’s clinical data and makes it available across different systems. Considering that user’s resistance is a critical factor in system implementation failure, the understanding of user behavior remains a relevant object of investigation. The purpose of this paper is to outline how we can assess the technology acceptance of an EHR using the Technology Acceptance Model 3 (TAM3) and the Delphi methodology. An assessment model is proposed in which findings are based on the results of a questionnaire answered by health professionals whose activities are supported by the EHR technology. In the case study simulated in this paper, the results obtained showed an average of 3 points and modes of 4 and 5, which translates to a good level of acceptance.The work has been supported by FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2019.The work has been supported by FCT – Fundação para a Ciência e Tecnologia within the Project Scope DSAIPA/DS/0084/2018

Metodologia de avaliação de impactos econômicos, sociais e ambientais para indicações geográficas: o caso do Vale dos Vinhedos.

Unindo esforços da Embrapa Uva e Vinho e do Sebrae, através de uma parceria com a Associação dos Produtores dos Vinhos Finos do Vale dos Vinhedos - Aprovale, foi elaborado um projeto com o objetivo de desenvolver e validar uma metodologia específica para a avaliação de impactos econômicos, sociais e ambientais provenientes de Indicações Geográficas. Para tal, também foi mobilizada a experiência do Grupo de Estudos sobre Organização da Pesquisa e da Inovação (GEOPI), no desenvolvimento de métodos de avaliação de impactos de programas de políticas públicas ligadas à ciência, tecnologia e inovação. O case da IP Vale dos Vinhedos, implementada há mais de 10 anos, foi utilizado como material para o desenvolvimento desta metodologia.bitstream/item/114801/1/doc91.pd

Foresight, competitive intelligence and knowledge management as innovation management tools

The reflections in this article aim to contribute toward the conceptual improvement of innovation management practices, highlighting the need to enhance decision making processes and the effects of networking as key factors for the promotion of a company's innovation capabilities and competitiveness. The article discusses the connection between three particularly useful approaches for innovation management - Foresight, Competitive Intelligence and Knowledge Management, arguing that their simultaneous use can generate a chain of added knowledge value, thereby positively influencing the aforementioned decision making processes and networking effects.A reflexão apresentada neste artigo busca contribuir para o aperfeiçoamento conceitual da gestão da inovação, destacando a necessidade de incrementar os processos de tomada de decisão e os efeitos de networking, como chaves para a promoção da capacidade de inovar e da competitividade das empresas. O artigo discute a aproximação de três abordagens particularmente úteis à gestão da inovação - Foresight, Inteligência Competitiva e Gestão do Conhecimento - e busca iniciar o entendimento de como as sinergias entre eles podem estimular uma cadeia de agregação de valor em conhecimento e influenciar, positivamente, os processos de tomada de decisão e de networking mencionados.23123

Magnetic and Structural Study of Mn1.15Fe0.85P1−xGexMn_{1.15}Fe_{0.85}P_{1-x}Ge_{x} (0.25 < x < 0.32) Magnetocaloric Compounds Prepared by Arc Melting

Recently, room temperature magnetocaloric materials increasingly attracted attention in the development of magnetic refrigerators. In this paper, an effect of P/Ge substitution on the magnetic phase transition in the series of $Mn_{1.15}Fe_{0.85}P_{1-x}Ge_{x}$ (0.25 < x < 0.32) magnetocaloric compounds prepared by the arc melting technique and subsequent homogenization process has been studied. Calorimetric and magnetization results show that the temperature of structural phase transition coincide with the Curie temperature and fall within the temperature range 270-355 K. The magnetic entropy change reaches the maximum value for the compound with x=0.28 and equals to 32 J/(kg K) for the magnetic field change of 5 T. The adiabatic temperature change for the same sample, measured using magnetocalorimeter, is equal to 1.2 K for the magnetic field change of 1.7 T. It was found that the increase of Ge content in the sample causes weakening of first order magnetic transition, which is manifested by the lowering difference in transition temperature measured in two zero-field-cooling and field-cooled-cooling regimes